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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data
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disciplines to develop integrated solutions. Modeling and Simulation: Use simulation and modeling tools to analyze and optimize urban energy networks. Conduct case studies on specific cities to evaluate network
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researchers. Required Skills Nuclear Instrumentation and Advanced Detection Techniques: Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi
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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and operational teams to integrate proposed solutions. Conducting literature reviews
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techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency. She/he will also integrate diverse technologies into pilot plant designs, conduct trials
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systems (software, platforms). Develop decision-support tools based on simulations for public and private stakeholders. Contribute to scientific publications and establish partnerships with public, private
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economic factors to enhance urban resilience to water-related challenges. Key Responsibilities Develop models to simulate urban water flows, assess climate change impacts, and test innovative solutions
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interfaces, and condensation surfaces under varied operating scenarios. Develop and refine performance simulation models and predictive tools to support system optimization and deployment strategies. Prepare
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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales